Datasets
This product shows ENS meteograms from next model version of IFS cycle 50R1 that is planned to be ...
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**This product shows ENS meteograms from next model version of IFS cycle 50R1 that is planned ...**
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**Next IFS version (cycle 50r1)**. This product shows the probability of visibility (%) in 2 ...
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(Next IFS version - CY50R1) Probability of precipitation type (%) in precipitation rate categories ...
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(New IFS cycle 50R1) The Vertical Profiles display the vertical structure of the forecast model atmosphere in a familiar user friendly way. The vertical structure of temperatures (red) dewpoints (green) and dewpoint depressions (blue) from each ENS member ...
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The total ozone estimates are based on solar UV radiation measurements made by ground-based spectrophotometers (Dobson or Brewer type spectrophotometers).
The vertical profiles of ozone concentration are estimated primarily using ozonesonde observations.
Data are available for 159 Dobson stations, 109 Brewer stations and 135 ozonesondes stations.
Interval/period: Tue, 01/01/1924 - Sat, 05/09/2026
Interval/period: Thu, 06/01/1995 - Sat, 05/09/2026
Interval/period: Wed, 01/01/1992 - Sat, 05/09/2026
United States Climate Reference Network (USCRN) stations.
There are over 130 USCRN stations over the conterminous United States (U.S.), Alaska, and Hawaii.
The USCRN stations are managed and maintained by the U.S. National Oceanic and Atmospheric Administration (NOAA).
The USCRN observations include air temperature, humidity, wind speed, precipitation, solar radiation,
Interval/period: Sun, 01/01/2006 - Sat, 05/09/2026
Interval/period: Mon, 01/01/1979 - Wed, 04/01/2026
The data are bias adjusted using the Distribution Based Scaling (DBS) method versus the global reference dataset HydroGFD2.0, both bias adjustment method and global reference dataset developed by the Swedish Meteorological and Hydrological Institute (SMHI).
The DBS method is a parametric quantile-mapping variant.
Interval/period: Thu, 10/12/2000 - Thu, 10/18/2018
Interval/period: Sun, 01/01/1950 - Tue, 12/31/2019
Interval/period: Wed, 01/01/1986 - Sun, 12/31/2023
Interval/period: Wed, 01/01/1986 - Sun, 12/31/2023
Interval/period: Mon, 01/01/1979 - Mon, 09/30/2024
Interval/period: Sat, 01/01/2000 - Sun, 12/31/2017
combined with observations using the UERRA-HARMONIE system and MESCAN-SURFEX system.
UERRA-HARMONIE is a 3-dimensional data assimilation system, whereas
MESCAN-SURFEX is a complementary surface analysis system. In general, the
assimilation systems are able to estimate biases between observations and to
sift good-quality data from poor data. The laws of physics allow for estimates
Interval/period: Thu, 10/18/2018 - Wed, 07/31/2019
Interval/period: Thu, 02/01/1940 - Fri, 01/23/2026
Interval/period: Sat, 03/01/1986 - Wed, 11/30/2011
River discharge
Volumetric soil moisture
Snow water equivalent
Soil wetness index (root zone)
Runoff water equivalent (surface plus subsurface)
Interval/period: Thu, 10/11/2018 - Mon, 04/06/2026
This dataset provides gridded modelled hydrological time series forced with medium-range meteorological forecasts. The data is a consistent representation of the most important hydrological variables across the European Flood Awareness System (EFAS) domain. The temporal resolution is sub-daily high-resolution and ensemble forecasts of:
River discharge
Soil moisture for three soil layers
Snow water equivalent
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River discharge
Soil wetness index (root zone)
Snow water equivalent
Runoff water equivalent (surface plus subsurface)
Interval/period: Tue, 11/05/2019 - Thu, 05/07/2026
River discharge
Volumetric soil moisture
Snow water equivalent
Soil wetness index (root zone)
Runoff water equivalent (surface plus subsurface)
Interval/period: Tue, 01/01/1991 - Tue, 05/05/2026
River discharge
Soil wetness index (root zone)
Snow water equivalent
Runoff water equivalent (surface plus subsurface)
Interval/period: Mon, 01/01/1979 - Tue, 05/05/2026
S2S project behind the dataset started in 2013 as a joint initiative of the World Weather Research Programme (WWRP) and the World Climate Research Programme (WCRP).
The goal of S2S project was to improve sub-seasonal forecast skill through combining multiple forecasting systems, enable multi-model evaluations and enhance knowledge sharing between operational centres.
Interval/period: Thu, 01/01/2015 - Wed, 05/06/2026